At a Glance
- Tasks: Drive data strategy and lead advanced analytics for innovative healthcare solutions.
- Company: Join Roche, a global leader in healthcare innovation.
- Benefits: Hybrid work structure, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity and encourages creativity.
- Why this job: Make a real impact on healthcare by transforming complex data into actionable insights.
- Qualifications: Master’s or PhD in relevant fields with 6+ years of research experience.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Drive Data Strategy: Develop and execute therapeutic area‑specific data strategies that align with clinical, scientific, and translational goals.
- Lead Advanced Analytics: Design and execute complex analytical frameworks leveraging multi‑modal data sources across real‑world data (RWD), clinical trials, and operational domains.
- Enable Innovation: Act as a thought leader on data access, integration, and interoperability approaches to build a future‑ready healthcare data ecosystem.
- Collaborate Globally: Partner closely with data scientists, data stewards, and external vendors to translate complex business needs into clear, technical data solutions.
- Advance Data Standards: Contribute directly to enterprise‑wide data standardization, metadata harmonization, and data asset definitions to maximize data reuse and accessibility.
Who You Are
You are an analytical thinker and strategic problem‑solver who thrives on transforming complex data into actionable medical insights. You bring a collaborative mindset, excellent communication skills, and a passion for mentoring others in a diverse, global environment.
Qualifications
- Advanced Education: A Master’s degree or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, Life Sciences, or a related technical field.
- Proven Research Experience: 6+ years of experience conceptualizing and delivering real‑world data (RWD) studies or using historical clinical trial data within a research or healthcare setting.
- Deep Methodological Expertise: A strong foundation in pharmacoepidemiology principles, observational study designs, and advanced methods to control for confounding (such as Propensity Score Matching or Inverse Probability Weighting).
- Technical & Machine Learning Proficiency: Advanced skills in R or Python, along with experience applying machine learning or artificial intelligence models to complex clinical or prognostic datasets.
- Strategic Communication & Mentorship: The ability to explain highly complex statistical concepts clearly, translate business objectives into structured analytical frameworks, and act as a supportive and positive influence on peers through active mentoring and upskilling.
Preferred Qualifications
- Familiarity with healthcare data standards such as CDISC, OMOP, or FHIR.
- Experience working with malignancy hematology or oncology datasets.
Location
This role is based onsite at our Welwyn, United Kingdom office. Our team follows a hybrid work structure, requiring a fixed number of onsite days per week. Relocation Assistance is not available.
At Roche, you’ll thrive in a culture that values different perspectives and creates a place of belonging, where we challenge ourselves to excel and achieve strong results, together. Ready to make a difference? Apply today!
Principal Data Strategy & Analytics Specialist in Welwyn Garden City employer: Roche
At Roche, we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration in our Welwyn office. Our commitment to employee growth is evident through mentorship opportunities and a supportive environment that values diverse perspectives, enabling you to thrive as a Principal Data Strategy & Analytics Specialist. With a hybrid work structure and a focus on making a global impact in healthcare, you'll find meaningful and rewarding employment here, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Strategy & Analytics Specialist in Welwyn Garden City
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Principal Data Strategy & Analytics Specialist in Welwyn Garden City
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Roche, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Roche. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Roche
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Roche!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
